A stability-indicating method development and validation for the determination of related substances in novel synthetic decapeptide by HPLC.

In the present scenario, peptide is an emerging field of research having vast therapeutic applications. Diverse impurities may rise from various stages of the synthesis process and storage of the peptides. Because these contaminants may have an impact on the therapeutic safety and effectiveness of peptides in their approaching applications, they must be identified and carefully monitored. Considering the pharmaceutical importance of the extent of peptides, we were motivated to synthesize a decapeptide and establish a novel gradient reversed-phase high-performance liquid chromatography (RP-HPLC) method for its analysis along with efficient separation of its six related impurities. Different buffers, organic modifiers, and columns were used in the tests for good separation of these impurities. To establish a stability-indicating method, a stress study was also conducted. The International Conference on Harmonization (ICH) guidelines have been followed for validation of the developed analytical method. The validated method revealed sufficient accuracy, specificity, linearity, robustness, precision, and high sensitivity for its intended use. The proposed method could be appropriate for routine analysis and stability assessment of the decapeptide, which might be useful for further scientific investigation.

Accumulation of three important bioactive compounds in different plant parts of Withania somnifera and its determination by the LC-ESI-MS-MS (MRM) method.

A comprehensive experiment was conducted to study the accumulation pattern and determination of three important bioactive compounds namely withaferin-A (WA), 12-deoxywithastramonolide (WO) and withanolide-A (WD) and its determination by the liquid chromatography/electrospray ionization tandem mass spectrometry (LC-ESI-MS-MS) method in root, stem, fruits and leaves of Withania somnifera. A rapid and sensitive LC-ESI-MS-MS method was developed and validated for the determination of these three important bioactive compounds, having same molecular weight. The multiple reaction monitoring method was established by two transitions for each analyte and intense transition used for quantification. Separation of the three analytes was achieved within a run time of 5 min on an RP-18 column using a mobile phase consisting of acetonitrile and 0.1% acetic acid in water in an isocratic condition. The developed method was validated as per the ICH guidelines. The developed method was found to be suitable for identification and quantification of WA, WO and WD in different plant parts such as roots, stems, fruits and leaves of W. somnifera. The accumulation of WA was highest in leaves samples (8.84 ± 0.37 mg/g) and it was 2.23, 5.85 and 27.26 times higher than its concentration in fruits, stems and roots, respectively. WO and WD contents were highest (0.44 ± 0.016 and 0.72 ± 0.016 mg/g, respectively) in root.

Next Generation Sequencing and Transcriptome Analysis Predicts Biosynthetic Pathway of Sennosides from Senna (Cassia angustifolia Vahl.), a Non-Model Plant with Potent Laxative Properties.

Senna (Cassia angustifolia Vahl.) is a world's natural laxative medicinal plant. Laxative properties are due to sennosides (anthraquinone glycosides) natural products. However, little genetic information is available for this species, especially concerning the biosynthetic pathways of sennosides. We present here the transcriptome sequencing of young and mature leaf tissue of Cassia angustifolia using Illumina MiSeq platform that resulted in a total of 6.34 Gb of raw nucleotide sequence. The sequence assembly resulted in 42230 and 37174 transcripts with an average length of 1119 bp and 1467 bp for young and mature leaf, respectively. The transcripts were annotated using NCBI BLAST with 'green plant database (txid 33090)', Swiss Prot, Kyoto Encylcopedia of Genes & Genomes (KEGG), Cluster of Orthologous Gene (COG) and Gene Ontology (GO). Out of the total transcripts, 40138 (95.0%) and 36349 (97.7%) from young and mature leaf, respectively, were annotated by BLASTX against green plant database of NCBI. We used InterProscan to see protein similarity at domain level, a total of 34031 (young leaf) and 32077 (mature leaf) transcripts were annotated against the Pfam domains. All transcripts from young and mature leaf were assigned to 191 KEGG pathways. There were 166 and 159 CDS, respectively, from young and mature leaf involved in metabolism of terpenoids and polyketides. Many CDS encoding enzymes leading to biosynthesis of sennosides were identified. A total of 10,763 CDS differentially expressing in both young and mature leaf libraries of which 2,343 (21.7%) CDS were up-regulated in young compared to mature leaf. Several differentially expressed genes found functionally associated with sennoside biosynthesis. CDS encoding for many CYPs and TF families were identified having probable roles in metabolism of primary as well as secondary metabolites. We developed SSR markers for molecular breeding of senna. We have identified a set of putative genes involved in various secondary metabolite pathways, especially those related to the synthesis of sennosides which will serve as an important platform for public information about gene expression, genomics, and functional genomics in senna.